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- W2911987032 abstract "Many applications in wireless sensor networks perform localization of nodes over an extended period of time. Optimal selection algorithm poses new challenges to the overall transmission power levels for target detection, and thus, localized energy optimized sensor management strategies are necessary for improving the accuracy of target tracking. In this chapter, a proposal plan to develop a Bayesian localized energy optimized sensor distribution scheme for efficient target tracking in wireless sensor network is designed. The sensor node localization is done with Bayesian average, which estimates the sensor node's energy optimality. Then the sensor nodes are localized and distributed based on the Bayesian energy estimate for efficient target tracking. The sensor node distributional strategy improves the accuracy of identifying the targets to be tracked quickly. The performance is evaluated with parameters such as accuracy of target tracking, energy consumption rate, localized node density, and time for target tracking." @default.
- W2911987032 created "2019-02-21" @default.
- W2911987032 creator A5044371725 @default.
- W2911987032 date "2019-01-01" @default.
- W2911987032 modified "2023-09-27" @default.
- W2911987032 title "Bayesian Localized Energy Optimized Sensor Distribution for Efficient Target Tracking" @default.
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- W2911987032 doi "https://doi.org/10.4018/978-1-5225-5522-3.ch001" @default.
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